code: def test_denormalise(
      data: np.ndarray, params: dict, expected: Union[float, dict, bool]
  ):
      out = denormalise(
          a=data,
          mean=np.array([0.485, 0.456, 0.406]),
          std=np.array([0.229, 0.224, 0.225]),
          **params,
      )
      assert np.all(
          o == e
          for o, e in zip(
              np.array(out).flatten(), np.array(expected).flatten()
          )
      ), "Test failed."
  
file_path: Quantus/tests/functions/test_normalise_func.py
imports: from typing import Union
  import pytest
  from pytest_lazyfixture import lazy_fixture
  from quantus.functions.normalise_func import *
label_desc: Use image node_id 14 for calling a global function with example usage: test_denormalise(data, params, expected) without return types